Canucks scoring chance totals: Playoffs

As you probably know, we count scoring chances at Canucks Army. After every game, we post a recap with a table of players on both teams, the number of scoring chances they were on the ice that were for their team, and the number of scoring chances that went against their team.

So for the playoffs, we’ve tallied it up. For what we define as a scoring chance, click here.

Here are the totals at even strength.

#

Name

EV TOI

Chances For/60

Chances Against/60

Diff

Rate

25

Ebbett

7

8.6

0.0

8.6

100.0%

29

Rome

10.2

23.5

0.0

23.5

100.0%

40

Lapierre

50.3

16.7

10.7

6.0

60.9%

23

Edler

83.8

19.3

13.6

5.7

58.7%

1

Team (Luongo)

80.6

21.6

15.6

6.0

58.0%

9

Kassian

19.1

18.8

15.7

3.1

54.5%

17

Kesler

72

17.5

15.0

2.5

53.8%

14

Burrows

67.8

19.5

16.8

2.7

53.7%

7

Booth

68.1

19.4

19.4

0.0

50.0%

33

H. Sedin

80.3

20.9

21.7

-0.7

49.1%

3

Bieksa

89.9

21.4

22.7

-1.3

48.5%

8

Tanev

68.9

13.9

16.6

-2.6

45.7%

36

Hansen

64

15

17.8

-2.8

45.7%

20

Higgins

56

11.8

15.0

-3.2

44.0%

2

Hamhuis

83

18.8

24.6

-5.8

43.3%

21

Raymond

54.2

15.5

21.1

-5.5

42.4%

6

Salo

66.1

10.9

16.3

-5.4

40.0%

22

D. Sedin

31.5

19

28.6

-9.5

40.0%

35

Team (Schneier)

142.9

13.4

20.6

-7.1

39.5%

4

Ballard

53.8

10

15.6

-5.6

39.1%

26

Pahlsson

59.3

10.1

17.2

-7.1

37.0%

27

Malhotra

31.8

13.2

26.4

-13.2

33.3%

32

Weise

8.3

0

50.6

-50.6

0.0%

34

Bitz

2.9

0

0

0

0.0%

Note how high Alex Edler ranks here. Edler may have been Vancouver’s best two-way defenceman. 27 scoring chances for, and 19 against over the course of the series. The problem is that Edler made costly turnovers, likely due to the fact that he has to handle the puck a lot more often. The play was usually at the other team’s end, however.

Not surprisingly, Manny Malhotra and Samuel Pahlsson, who handled the tough minutes, rank low. The team fared better in front of Luongo than Schneider because they were behind more when Luongo was in the game. This means that the team spent more time pressing.

Also, Aaron Rome should have got more minutes.

Here are the powerplay performers. I’m only counting players who had at least two minutes:

#

Name

PP TOI

Chances For/2

22

D. Sedin

8.6

2.34

2

Hamhuis

17.9

1.46

17

Kesler

22.3

1.26

35

Team (Schneider)

16.9

1.18

33

H. Sedin

25.2

1.11

23

Edler

21.6

0.93

21

Raymond

4.9

0.82

3

Bieksa

14.9

0.67

1

Team (Luongo)

16.4

0.49

14

Burrows

13.9

0.43

20

Higgins

12.2

0.33

6

Salo

14.0

0.29

7

Booth

12.5

0.16

25

Ebbett

3.3

0.00

36

Hansen

2.2

0.00

Not surprinsgly, the powerplay did much better with Daniel Sedin in the lineup. Given the crappy powerplay Games 1-through-3, what could have been, eh?

Shorthanded:

#

Name

SH TOI

Chances Against/2

29

Rome

2.2

0.00

6

Salo

14.4

0.42

20

Higgins

9.6

0.42

23

Edler

16.5

0.73

26

Pahlsson

9.7

0.82

1

Team (Luongo)

18.9

0.85

17

Kesler

15.9

0.88

4

Ballard

4.5

0.90

14

Burrows

12.9

0.93

27

Malhotra

16.2

0.99

8

Tanev

5.9

1.02

35

Team (Schneider)

22.9

1.05

36

Hansen

15.9

1.13

21

Raymond

3.3

1.22

2

Hamhuis

20.5

1.27

3

Bieksa

18.6

1.29

Very good penalty-killing by Sami Salo. Again, the top pairing gets killed defensively, but they saw the top unit more often.

And team totals.

The rates are what matter most:

STEV – Score tied at even strength.EV – Even strengthOverall – Overall totals, including even strength and special teams.

STF

STA

STEV

EVF

EVA

EV

OVF

OVA

Overall

Game 1

13

12

52.0%

17

12

58.6%

21

18

53.8%

Game 2

3

3

50.0%

13

9

59.1%

15

13

53.6%

Game 3

4

10

28.6%

8

11

42.1%

9

13

40.9%

Game 4

1

6

14.3%

8

12

40.0%

14

21

40.0%

Game 5

6

15

28.6%

16

26

38.1%

21

30

41.2%

Totals

27

46

37.0%

62

70

47.0%

80

95

45.7%

The Canucks got absolutely killed in Games 3, 4 and 5 after hanging on in 1 and 2. The numbers in the Cory Schneider half of the series look gross (probably because Aaron Rome didn’t play either game).

Special teams:

The first two columns are powerplay chances for and shorthanded chances against. This measures up the Canucks powerplay head to head with the Kings’ powerplay. The second column does the reverse:

PPF

SHA

PP Rate

SHF

PPA

SH Rate

Game 1

3

6

33.3%

1

0

100.0%

Game 2

2

2

50.0%

0

2

0.0%

Game 3

0

2

0.0%

0

0

–

Game 4

5

6

45.5%

0

1

0.0%

Game 5

5

4

55.6%

0

0

–

Totals

15

20

42.9%

1

3

25.0%

The Canucks were out-classed on special teams’ in this series. L.A lit them up for 20 chances to 15 on the PP, and also got an extra two while shorthanded. I believe one was a goal and one other one led to a goal. Another was a penalty shot if I’m not mistaken.

3 Comments |

Thanks for putting the numbers together! Great stuff. But I’m officially now more depressed after seeing them. What a gong show of a series this team put forth. Games 3-5 were utterly horrible and embarrassing for a team who went to gm 7 of SCF less than a yr ago.

I want a major shakeup this summer, and I’m talking core players (not named Sedin). Clearly there an an emotional issue with this team, it can only be rectified with sever changes to core players who are clearly not leading this team in the right direction.

Thanks for posting these numbers all season long, and in the playoffs. They are really interesting and helpful, and I hope you are able to do it again next season.

My question is why did the Canucks get so badly out chanced in the last 24 minutes of their last game, when their whole season was on the line. I think it was mental fatigue. Was there some other reason do you think?